Title :
Feature-based localization using scannable visibility sectors
Author :
Kim, Jinsuck ; Pearce, Roger A. ; Amato, Nancy M.
Author_Institution :
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
Abstract :
This paper presents methods for navigating and localizing mobile robots in a known indoor environment. We introduce a restricted visibility concept called a scannable sector that can aid many existing navigation and localization algorithms. The scannable sectors are based on the physical characteristics of the environment and the limitations of the localization sensors used. We describe a complete navigation system that includes a scannable sector based localizer, sonar sensors, and a probabilistic roadmap path planner. Simulation and hardware results using a real robot with sonar sensors show the potential of our approach.
Keywords :
mobile robots; navigation; path planning; position control; sonar; feature-based localization; indoor environment; localising mobile robots; localization algorithms; localization sensors; navigation; path planning; probabilistic roadmap; scannable sectors; sonar sensors; visible sectors; Data structures; Mobile robots; Navigation; Orbital robotics; Robot sensing systems; Robot vision systems; Sensor phenomena and characterization; Sensor systems; Sonar; Uncertainty;
Conference_Titel :
Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on
Print_ISBN :
0-7803-7736-2
DOI :
10.1109/ROBOT.2003.1242025